adjPrevSensSpec         Adjust a prevalence point estimate for a given
                        assay sensitivity and specificity.
adjPrevSensSpecCI       Adjust a prevalence point estimate and
                        confidence interval for a given assay
                        sensitivity and specificity (also known only
                        imprecisely).
bootComb                Combine parameter estimates via bootstrap
getBetaFromCI           Find the best-fit beta distribution for a given
                        confidence interval for a probability
                        parameter.
getExpFromCI            Find the best-fit exponential distribution for
                        a given confidence interval.
getGammaFromCI          Find the best-fit gamma distribution for a
                        given confidence interval.
getNegBinFromCI         Find the best-fit negative binomial
                        distribution for a given confidence interval.
getNormFromCI           Find the best-fit normal / Gaussian
                        distribution for a given confidence interval.
getPoisFromCI           Find the best-fit Poisson distribution for a
                        given confidence interval.
identifyBetaPars        Determine the parameters of the best-fit beta
                        distribution for a given confidence interval
                        for a probability parameter.
identifyExpPars         Determine the parameters of the best-fit
                        exponential distribution for a given confidence
                        interval.
identifyGammaPars       Determine the parameters of the best-fit gamma
                        distribution for a given confidence interval.
identifyNegBinPars      Determine the parameters of the best-fit
                        negative binomial distribution for a given
                        confidence interval.
identifyNormPars        Determine the parameters of the best-fit normal
                        / Gaussian distribution for a given confidence
                        interval.
identifyPoisPars        Determine the parameters of the best-fit
                        Poisson distribution for a given confidence
                        interval.
simScenPrevSensSpec     Simulation scenario for adjusting a prevalence
                        for sensitivity and specificity.
simScenProductTwoPrevs
                        Simulation scenario for the product of two
                        prevlaence estimates.
ssBetaPars              Compute the sum of squares between the
                        theoretical and observed quantiles of a beta
                        distribution.
ssExpPars               Compute the sum of squares between the
                        theoretical and observed quantiles of an
                        exponential distribution.
ssGammaPars             Compute the sum of squares between the
                        theoretical and observed quantiles of a gamma
                        distribution.
ssNegBinPars            Compute the sum of squares between the
                        theoretical and observed quantiles of a
                        negative binomial distribution.
ssNormPars              Compute the sum of squares between the
                        theoretical and observed quantiles of a normal
                        / Gaussian distribution.
ssPoisPars              Compute the sum of squares between the
                        theoretical and observed quantiles of a Poisson
                        distribution.
